2014
DOI: 10.1016/j.rser.2013.09.006
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A critical review of China's rapidly developing renewable energy and energy efficiency policies

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Cited by 272 publications
(107 citation statements)
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“…In recent years, a high number of environmental pollution disasters, such as air pollution, have emerged across vast parts of China [1][2][3]. Air pollution concentration in many regions of China has far exceeded the WHO's air quality guidelines [4][5][6], and twenty Chinese cities were listed among the world's thirty most polluted cities [7].…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, a high number of environmental pollution disasters, such as air pollution, have emerged across vast parts of China [1][2][3]. Air pollution concentration in many regions of China has far exceeded the WHO's air quality guidelines [4][5][6], and twenty Chinese cities were listed among the world's thirty most polluted cities [7].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, the deviation between the predicted value and the actual value is the smallest in these regions, where mildly underestimated areas and generally underestimated areas are concentrated. In these regions, GDP growth is the main cause of increase of energy consumption, as documented by many studies [11,28,29].…”
Section: Discussion Of Failure Causes Of Eds2050 In Different Regionsmentioning
confidence: 93%
“…For a long time, predicting and optimizing the scale and structure of the supply and demand of energy, promoting energy conservation and sustainable utilization, and maintaining energy security have been the focus of EDS and energy planning, which mainly concern influential factors such as population, gross domestic product (GDP), import and export amounts, urbanization, industrial structure, energy prices, registered vehicles and policies [10][11][12]. In order to achieve this, the following models have been used: linear regression, autoregressive integrated moving average, artificial neural networks, genetic algorithms, ant colony optimization, particle swarm optimization, grey model, and long-range energy alternatives planning system [13][14][15][16][17][18][19][20].…”
Section: Introductionmentioning
confidence: 99%
“…These promising figures indicate China's rapid transition to a more sustainable energy system. Different from previous review articles that usually investigate Chinese renewable energy development from production and consumption scale, policy, or investment (see for instance [13,14]), we adopt a geographical perspective for China's current wave of renewable energy transitions. Bridge et al (2013) argued that "energy transition is fundamentally a geographical process that involves reconfiguring current spatial patterns of economic and social activity" (p. 331) [5].…”
Section: Renewable Energy Development In Chinamentioning
confidence: 99%